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Data for: Bioimage analysis for multiplexed FUCCI acquisitions powered by deep learning
Reproduction data for DeepFUCCI paper. What to find here: Training data: annotated dataset of classified segmentation masks, following the StarDist convention Custom-trained StarDist models: three pure segmentation and three classsification + segmentatio
File Size5.1 GB
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views142
Total Downloads400
Reproduction data for DeepFUCCI paper.
What to find here:
- Training data: annotated dataset of classified segmentation masks, following the StarDist convention
- Custom-trained StarDist models: three pure segmentation and three classsification + segmentation models
- Custom-trained InstanSeg models: three channel-specific and one channel-invariant model
- Custom-trained Cellpose-SAM models: one fine-tuned model, one classification model trained on all channels and one classification model trained only on the tubulin channel
- Video figures
- Source data: the data and scripts used for the individual figures (if applicable)
- fucciphase code used for paper
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Files are hosted on the source repository. Click download to access the full dataset.
Zimmermann, Julius (2026). Data for: Bioimage analysis for multiplexed FUCCI acquisitions powered by deep learning. https://doi.org/10.5281/zenodo.19671003